code: def whisper_frontend(request):
      with torch.no_grad():
          return WhisperFrontend("tiny")
  
file_path: espnet/test/espnet2/asr/frontend/test_whisper.py
imports: import sys
  import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.frontend.whisper import WhisperFrontend
label_desc: Use image node_id 1 for calling a global function with example usage: whisper_frontend(request) and returns: WhisperFrontend